Lead Advanced Analytics

AT&T

Data Engineer/Architect focusing on analytics and data pipeline development at AT&T. Collaborating with partners for performance monitoring and data availability.

Posted 6/29/2026full-timeDallas • Texas • 🇺🇸 United StatesSenior💰 $130,700 - $215,800 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and maintaining scalable data pipelines, applying data architecture best practices, and optimizing data performance. Proficient in advanced SQL and programming languages, with hands-on experience in cloud data ecosystems and orchestration tools.

Highest-signal resume keywords

Data EngineeringAdvanced SQLPython ProgrammingCloud Data EcosystemsData Modeling

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DevelopmentData Quality ChecksData Performance OptimizationData Architecture Best PracticesData ModelingCI/CD AutomationGitTestingOrchestration ToolsTransformation Tools

Soft Skills

CollaborationProblem-SolvingDocumentation

Tools & Technologies

DatabricksSnowflakeAirflowDbtSparkAWSGCPAzure

Industry Keywords

Data EngineeringAnalytics EngineeringBackend DevelopmentQuantitative FieldData Science

Tech Stack

Tools & technologies

AirflowAWSAzureCloudGoogle Cloud PlatformJavaPythonScalaSparkSQL

About the role

Key responsibilities & impact

Understand key concepts of Marketing data and be ready to work in a fast environment
Design, build, and maintain scalable batch and/or streaming data pipelines across multiple source systems (APIs, databases, Engineering Tools and event streams).
Develop curated datasets and data models that support analytics, reporting, and operational use cases.
Apply data architecture best practices (ingestion patterns, schema evolution, data contracts, lake/warehouse organization).
Implement data quality checks, observability/monitoring, lineage, and SLAs; troubleshoot pipeline issues end-to-end.
Optimize data performance and cost (partitioning, clustering, file formats, query tuning, compute sizing)
Collaborate with platform/security teams to implement access controls and safe handling of sensitive data
Contribute to documentation, reusable frameworks, code standards, and CI/CD automation.
Work closely with stakeholders to translate requirements into scalable, maintainable data solutions.

Requirements

What you’ll need

5-7 years (or equivalent) experience in data engineering, analytics engineering, or backend development with significant data work.
Advanced SQL and proficiency in at least one language (Python, Java, or Scala).
Hands-on experience with orchestration and transformation tools (e.g., Databricks, Snowflake, Airflow, dbt, Spark, or similar).
Experience with cloud data ecosystems (AWS/GCP/Azure) and data storage/compute services (data lake/warehouse).
Strong understanding of data modeling (dimensional modeling and/or other modern modeling approaches).
Solid engineering practices: Git, code reviews, testing, CI/CD, and clear documentation.
Bachelor's degree (BS/BA) desired from an accredited University in a Quantitative field of study such as Data Science, Math, Statistics, Engineering or Physics.
5+ years of related experience.
Certification is required in some areas.

Benefits

Comp & perks

Medical/Dental/Vision coverage
401(k) plan
Tuition reimbursement program
Paid Time Off and Holidays (based on date of hire, at least 23 days of vacation each year and 9 company-designated holidays)
Paid Parental Leave
Paid Caregiver Leave
Additional sick leave beyond what state and local law require may be available but is unprotected
Adoption Reimbursement
Disability Benefits (short term and long term)
Life and Accidental Death Insurance
Supplemental benefit programs: critical illness/accident hospital indemnity/group legal
Employee Assistance Programs (EAP)
Extensive employee wellness programs
Employee discounts up to 50% off on eligible AT&T mobility plans and accessories, AT&T internet (and fiber where available) and AT&T phone